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Bioinformatics Advance Access published online on January 19, 2007
Bioinformatics, doi:10.1093/bioinformatics/btl658
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© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

FIVA: Functional Information Viewer and Analyzer extracting biological knowledge from transcriptome data of prokaryotes

Evert-Jan Blom a, Dinne W.J. Bosman b, Sacha A.F.T. van Hijum a, Rainer Breitling c, Lars Tijsma b, Remko Silvis a, Jos B.T.M. Roerdink b and Oscar P. Kuipers a,*

aMolecular Genetics, Groningen Biomolecular Sciences, bInstitute for Mathematics and Computing Science, cGroningen Bioinformatics Centre, University of Groningen, PO Box 800, 9700 AV, Groningen the Netherlands

*to whom correspondence should be addressed. Oscar P. Kuipers, Email: o.p.kuipers{at}rug.nl


  Abstract

Summary: FIVA aids researchers in the prokaryotic community to quickly identify relevant biological processes following transcriptome analysis. Our software is able to assist in functional pro?ling of large sets of genes and generates a comprehensive overview of affected biological processes.

Availability: http://bioinformatics.biol.rug.nl/standalone/fiva/

Supplementary information: http://bioinformatics.biol.rug.nl/standalone/fiva/suppMaterials.php

Associate Editor: Dmitrij Frishman

Received on October 19, 2006; revised on November 24, 2006; accepted on December 19, 2006

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